Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They ensure products meet standards by weighing, measuring, and checking them, then recording the results to keep everything accurate and organized.
This role is changing fast
This career is labeled as "Changing fast" because many of the routine tasks like weighing, labeling, and counting items in warehouses are increasingly being automated with robots, scanners, and inventory systems. Companies are adopting these technologies to speed up processes and reduce errors, meaning that machines are now handling much of the heavy lifting and repetitive work.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
This career is labeled as "Changing fast" because many of the routine tasks like weighing, labeling, and counting items in warehouses are increasingly being automated with robots, scanners, and inventory systems. Companies are adopting these technologies to speed up processes and reduce errors, meaning that machines are now handling much of the heavy lifting and repetitive work.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Weighers & Measurers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
These jobs involve routine tasks like weighing, sticking on labels, checking packing lists, and counting items. In many warehouses today those steps are already partly automated. For example, high-speed conveyors with barcode scanners can read and sort packages automatically [1].
Some companies even use drones or cameras to “see” and count inventory on shelves [1]. Robots and machines handle heavy lifting and repeats – moving packed pallets or sorting boxes – so people can focus on other work [2] [3]. Even Amazon reports that robots pick and move items, while staff train and maintain them rather than lift every parcel by hand [3] [2].
Paperwork and records are also being upgraded. Today most keep tracking in software: inventory systems automatically log weights or test results instead of writing them by hand [2]. U.S. labor data notes that clerks “document quantity, quality, [and] weight” of goods [4], but now this is often done on a computer or tablet.
Still, people review the results. For example, workers are needed to spot if a damaged item got through or if a machine’s record doesn’t match the real shipment. In short, AI and automation help speed up counting and checking, but humans still guide, double-check, and control the process [3] [2].

AI in the real world
Companies have several reasons to adopt AI tools quickly. Rising wages and worker shortages in warehouses encourage automation [2]. Faster delivery demands push businesses to work more quickly and accurately – technology can help speed orders and reduce errors (and even cut lifting injuries) [3] [2].
Analysts note that robots excel at dull, heavy tasks, freeing humans for more interesting work [2] [3]. When automation clearly boosts speed or safety, companies adopt it eagerly.
However, adoption also faces hurdles. Warehouse robots and AI systems cost a lot upfront, and they must last for years. One industry report found automation spending growing slowly (only ~3–5% per year) in logistics because firms move cautiously [1].
Experts point out the hard part is integrating AI with existing software and workflows: robots only help if they connect smoothly to inventory databases and processes [5] [1]. Regulation and human trust can slow things too – many customers still expect a person to verify quality. In practice, automation has to prove its value before replacing people.
Overall, the shift is gradual: technology tools help with counting and checking, but human skills like noticing mistakes and solving problems remain valuable [3] [5].

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Median Wage
$45,650
Jobs (2024)
49,800
Growth (2024-34)
-4.8%
Annual Openings
5,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Maintain financial records, such as accounts of daily collections and billings, and records of receipts issued.
Inspect incoming loads of waste to identify contents and to screen for the presence of specific regulated or hazardous wastes.
Operate scalehouse computers to obtain weight information about incoming shipments such as those from waste haulers.
Compute product totals and charges for shipments.
Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.
Communicate with customers and vendors to exchange information regarding products, materials, and services.
Transport materials, products, or samples to processing, shipping, or storage areas, manually or using conveyors, pumps, or hand trucks.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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